This guide outlines a four-step blueprint for implementing AI using MuleSoft: connect data across systems, compose it for business use via APIs, control access to ensure trust and compliance, and action insights across applications. It addresses key barriers like data silos, fragmented UI, and integration complexity. By embedding AI capabilities into workflows using Agentforce and MuleSoft, organizations can automate processes beyond CRM, streamline decision-making, and personalize experiences. A case study on Iron Mountain shows how integrating data and generative AI improved service efficiency and reduced admin work.

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